Data Science and AI for Health Innovation MRes

University of Liverpool

Data science is transforming healthcare, where vast amounts of health data has the potential to revolutionise healthcare interventions. Gain cutting-edge research skills in this interdisciplinary area and delve into a year long research project tackling global health challenges. This programme will prepare you to be a key player in the digital revolution of healthcare.IntroductionThis MRes is the ideal choice for those looking to drive innovation in healthcare through advanced research. With the increasing availability of complex health data—from electronic health records to AI-driven diagnostics—there is a growing need for experts who can harness this information to improve patient outcomes and public health. This programme provides a unique opportunity to develop specialist skills in machine learning, predictive analytics, and data visualisation while conducting an extended research project that tackles real-world healthcare challenges. Whether you aim to pursue a PhD, contribute to cutting-edge medical research, or shape the future of health technology, an MRes in Data Science for Health equips you with the analytical expertise and hands-on experience to make a meaningful impact in this rapidly evolving field.With the rise of electronic health records, wearable technology, and AI-driven diagnostics, healthcare now generates more data than ever before. Effectively analysing this data allows for earlier disease detection, personalised treatment plans, and more efficient resource allocation. The programme blends core principles of computer science with advanced statistical analysis and data visualisation techniques, demonstrating how health data science can enhance our understanding of disease and healthcare.The programme is split into a 120 credit research project and 60 credits of specialised taught modules. Students are able to choose a project that appeals to their interests and work alongside internationally recognised scientists gaining hands on experience in state of the art techniques. The opportunity to undertake specialist taught modules will compliment this research, allowing students to delve deeper into prediction modelling, precision medicine and clinical trials.